BBVA puts AI at the core of banking with OpenAI
Key Points
- 100,000 employees on ChatGPT Enterprise
- 20,000 custom GPTs created (≈4,000 active)
- Up to 80% efficiency gains in workflows
Summary
BBVA and OpenAI formed a strategic collaboration to embed AI across customer experience, operations, software development, risk, and employee workflows. Starting from a 2024 pilot of ChatGPT Enterprise, BBVA scaled to ~100,000 employees using the platform, built a company-wide AI transformation roadmap called “The Eight,” and emphasized governance, security, and structured learning to enable production-safe AI at scale.
Key Points
- Platform and scale: enterprise deployment of ChatGPT Enterprise with ~100,000 users, 70%+ weekly active usage, ~3 hours saved per employee/week.
- Artifacts and reuse: ~20,000 custom GPTs created (≈4,000 frequently used) to automate domain workflows across risk, legal, CX, finance, and marketing.
- Measured impact: up to 80% efficiency gains in specific workflows (e.g., query handling reduced from ~7.5 min to ~1 min in Peru).
- Governance pillars: trust, governance, and structured learning; aligned security, legal, and compliance from day one.
- Enablement model: organization-wide AI champions and advanced “wizard” users; 250 leaders trained to accelerate adoption.
- Collaboration model: cross-company engineering, research, product, and operations integration with OpenAI to co-develop secure, scalable capabilities.
Engineering takeaways
- Treat AI adoption as platform and product work: build repeatable APIs, templates, and observability for custom GPTs and assistant workflows.
- Prioritize secure data architecture and governance (access controls, data lineage, compliance checks) before broad rollout.
- Create enablement and feedback loops (champions, workshops, leader training) to surface high-value use cases and iterate quickly.
- Instrument usage and ROI metrics (MAU, time saved, efficiency gains) to guide prioritization and risk monitoring.
- Focus early on domain-specific assistants (credit analysis, legal drafting, CX sentiment) where structured inputs and outputs reduce risk and accelerate value.